1,170 research outputs found

    Inclusive design as the center of the learning process

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    [EN] The Cultural Interpretation sector related to architectural heritage comprises a field of applied research, with a major impact on the development and availability of specifically adapted and inclusive resources. Nowadays, smart and sustainable development are common goals of mankind. That includes the social participation of people in learning and leisure. This paper shows an approach to the design of in-situ learning experiences. This study was carried out by a multidisciplinary team of researchers at the Universitat Politècnica de València (Spain). The goals are to increase the use of learning artifacts ant to improve the user experience as well. Inclusive design offers choice where a single design solution cannot accommodate all users. The case of an informative solution for interpretation and learning of the Central Market of Valencia is explained. The main difficulty is the simultaneous use of the site as a commercial spot and a tourist attraction. Segmentation, technical options, and creativity are mixed.This work is part of the research `Innovación y Diseño de recursos y contenidos de sustrato gráfico para la interpretación y la educación inclusivas_INDICO, supported by Generalitat Valenciana (AICO, Ref /2017/046). We would also like to thank our technical assistant María Carrillo, for her work in the design and development of the deliveries and the enthusiastic EPS team: Arne Meylemans, Julia Norbart, August Baun Christensen, Tim Hartstra, Ruxandra Bituleanu, Philipp Hoffmann. We would like also give credit to the staff from different workshops of the Escuela Técnica Superior de Ingeniería del Diseño.Fuentes-Durá, P.; Puyuelo, M.; Val Fiel, M. (2019). Inclusive design as the center of the learning process. IATED. 10347-10355. https://doi.org/10.21125/edulearn.2019.2600S103471035

    Evaluation of 5G Modulation Candidates WCP-COQAM, GFDM-OQAM, and FBMC-OQAM in Low-Band Highly Dispersive Wireless Channels

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    We analyse some of the candidates for modulations for 5G: FBMC-OQAM, GFDM-OQAM, and WCP-COQAM. Unlike most of the related bibliographies, which are oriented to mobile communications, our research is focused on 5G in cognitive radio based industrial wireless communications. According to the ultrareliability and low-latency requirements of industrial communications, we simulate the aforementioned modulations in low-band transmissions (carrier frequencies below 6GHz and a bandwidth narrower than 100MHz) through large indoor spaces and severe multipath channels that emulate industrial halls. Moreover, we give detailed information aboutWCP-COQAMand how the windowing affects the protection againstmultipath effect and reduces spectral efficiency compared to GFDM-OQAM.We also compare the aforementioned filtered multicarrier techniques and OFDM in terms of robustness against multipath channels, power spectral density, and spectral efficiency. Based on these results, we aim at providing an approximate idea about the suitability of 5G MCM candidates for industrial wireless communications based on CR

    A SPC strategy for decision making in manufacturing processes

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    Tapping is an extensively employed manufacturing process by which a multi-teeth tool, known as tap, cuts a mating thread when driven into a hole. When taps are new or slightly worn the process is usually in control and the geometry of the resulting threads on the work piece is correct. But as the tap wear increases the thread geometry deviates progressively from the correct one and eventually the screw threads become unacceptable.The aim of this paper consists on a development of statistical process control strategy for decision making according to data coming from the current signal of the tap spindle for assessing thread quality. It could operate on line and indicates when the tap wear is so critical that, if the process were continued, it would result in unacceptable screw threads. The system would be very cost-effective since the tapping process could be run without any operator intervention

    Global and local distance-based generalized linear models

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    This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models first to the generalized linear model framework. Then, a nonparametric version of these models is proposed by means of local fitting. Distances between individuals are the only predictor information needed to fit these models. Therefore, they are applicable, among others, to mixed (qualitative and quantitative) explanatory variables or when the regressor is of functional type. An implementation is provided by the R package dbstats, which also implements other distance-based prediction methods. Supplementary material for this article is available online, which reproduces all the results of this article

    Repensar las escenas musicales contemporáneas: genealogía, límites y aperturas

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    El concepto de escena musical se ha consolidado como una idea central en los estudios sobre músicas populares desde los años 90. En este artículo proponemos una revisión crítica de su desarrollo teórico y metodológico, y profundizamos en su proyección durante los últimos años. A partir de la exploración de sus límites, apuntamos ciertas lagunas y aportamos nuevas definiciones, conceptos y posibles líneas de investigación. En este proceso se hace necesario cuestionar la separación categórica entre escenas locales, translocales y virtuales, e incidir en la compleja infraestructura de las escenas musicales contemporáneas. Para ello recurrimos a la obra de investigadores sobre música popular, semiótica y sociología. Los textos del dossier aquí presentados contribuirán a los estudios sobre escenas musicales en la Península Ibérica y en Latinoamérica mediante novedosas indagaciones en las prácticas musicales y en sus implicaciones identitarias, en la tradición y el diálogo intercultural, en la cartografía de lugares y estilos musicales.Since the 1990s, the concept of music scene has been established as a central idea within popular music studies. In this article we propose a critical review of its theoretical and methodological development, and we discuss its projection during recent years. By exploring its boundaries, we point out certain limitations and provide new definitions, concepts and research lines. In this process it is necessary to question the categorical separation between local, translocal and virtual scenes, and to acknowledge the complex infrastructure of contemporary music scenes. To this end, we draw on the work of researchers on popular music, semiotics and sociology. The texts of the dossier presented here will contribute to music scenes studies in the Iberian Peninsula and in Latin America through innovative approaches to musical practices and identities, tradition and intercultural dialogue, mapping of places and music styles

    Una introducción a los estudios sobre periodismo musical

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    UID/EAT/00472/2013 SFRH/BPD/100/654/2014publishersversionpublishe

    Analysis of factors affecting the rearing of early-weaned lambs of dairy breeds for the meat market

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    Sheep farming makes an important socio-economic contribution to Spain’s rural areas by sustaining farming and employment in less favored regions, but it is a low-profit sector because of high operating and regulatory costs. One possible solution would be to raise for slaughter lambs from dairy sheep that are not required as replacements. However, the early weaning of these lambs and their artificial rearing generally lead to reduced growth rates and high mortalities. In the work presented herein, three housing systems (slat + heating plate, slat + infrared lamp, and deep-litter + infrared lamp) were tested on 763 lambs over an eight-month period in a farm located in Ejea de los Caballeros (Zaragoza, Spain), with a view to reducing mortality during the period of artificial lactation. The effect of the environmental parameters of the lamb housing on the development of the lambs was evaluated by monitoring environmental (temperature, relative humidity, CO2 and NH3) and productive parameters (weight, average daily gain, and deaths). The results suggested that the combination of deep litter with straw bedding and infrared lamp heating would be the most favorable option, as it led to the highest average daily gain and the lowest percentage of deaths. From the study of the relationship of the initial weight with deaths, a prediction curve was obtained, defining the maximum prices to be paid per lamb as a function of their initial weight to guarantee the profitability of the raising process. This may be regarded as a valuable guidance for Spanish sheep farmers, as it can reduce their economic uncertainty

    Robust H2 static output feedback to control an autmomotive throttle valve

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    The paper presents a control strategy for an automotive electronic throttle body, a device largely used into vehicles to increase the efficiency of the combustion engines. The synthesis of the proposed controller is based on a linear matrix inequality (LMI) formulation, which allows us to deal with uncertainties on the measurements of the position of the throttle valve. The LMI approach generates a suboptimal solution for the robust H-2 static output feedback control problem, and the corresponding suboptimal control gain was evaluated in practice to control the valve position of the throttle. The usefulness of the approach has been verified not only by numerical simulations but also by real experiments taken in a laboratory prototype.Postprint (published version
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